code: def log_to_cns(predictions, filename_prefix: str):
      """Saves predictions to CNS.
  
      Args:
        predictions: Serialised predictions.
        filename_prefix: File prefix to save the results to.
      """
      with open(filename_prefix + ".pkl", "wb") as f:
          # Protocol needs to be set to save large files.
          pickle.dump(predictions, f, protocol=4)
  
imports: import datetime
  import functools
  import os
  import pickle
  from typing import Any, Callable, Optional, Type
  from absl import logging
  from clu import metric_writers
  from flax import jax_utils
  import flax.linen
  import jax
  import jax.numpy
  import jax.profiler
  import ml_collections
  import numpy
  from scenic.common_lib import debug_utils
  from scenic.dataset_lib import dataset_utils
  from scenic.model_lib.base_models import base_model
  from scenic.projects.svvit import classification_trainer
  from scenic.projects.svvit import metrics
  from scenic.train_lib import optimizers
  from scenic.train_lib import pretrain_utils
  from scenic.train_lib import train_utils
  import tensorflow
label_desc: Use image node_id 4 for calling a global function with example usage: log_to_cns(predictions, filename_prefix) without return types